code: def test_models(model_name):
      pretrained_to_test = set(["mobilenetv2_0.25"])
  
      test_pretrain = model_name in pretrained_to_test
      model = get_model(
          model_name, pretrained=test_pretrain, root="model/"
      )
      data_shape = (
          (2, 3, 224, 224)
          if "inception" not in model_name
          else (2, 3, 299, 299)
      )
      eprint(f"testing forward for {model_name}")
      print(model)
      if not test_pretrain:
          model.initialize()
      model(mx.np.random.uniform(size=data_shape)).wait_to_read()
  
file_path: mxnet/tests/python/unittest/test_gluon_model_zoo.py
imports: from __future__ import print_function
  import mxnet
  from mxnet.gluon.model_zoo.vision import get_model
  import sys
  import multiprocessing
  import pytest
label_desc: Use image node_id 2 for calling a global function with example usage: test_models(model_name) without return types